Pine Biotech is a New Orleans based startup which delivers solutions to ease multi-omics analysis and integration with the use of T-BioInfo, an analysis platform allowing industries to seize the challenge and the promise of the future
Pine Biotech was Incorporated in September 2014, and moved into the New Orleans Bioinnovation Center in 2016. Pine Biotech is commercializing a machine learning biomedical data analysis platform, T-BioInfo, in collaboration with the Tauber Bioinformatics Research Center and the University of Haifa. The platform is designed to serve unmet needs in clinical studies, academic research and education. This solution is different than other biomedical analysis software currently available. The platform enables researchers to conduct comprehensive analysis of large data using an intuitive interface. Molecular data reveals important mechanisms of actions that are best studied as a system, making this integrative approach critical for understanding and treating disease. The machine learning platform utilizes algorithms developed over years of research and trained in many academic projects.
Big data analysis opens up new opportunities for the worlds of biomedical, biotech, and agricultural research, but working with big data can be as frustrating as it is rewarding. To help you realize the potential of this remarkable resource, our company delivers solutions to ease and streamline multi-omics analysis and integration.
From basic biology research to pharmaceutical development and precision medicine, genomic, transcriptomic, proteomic, metabolomic and other “omics” data are increasingly being used for research, diagnosis, and treatment development. As the technology used to generate ‘omics data progresses, costs are decreasing, making ‘omics analysis increasingly feasible for applications from exploratory research to precision diagnosis. The discoveries already made in the field—mainly stemming from research labs– are just the start of a big data revolution. The challenge is to enable a wider range of researchers and clinicians to take advantage of these new resources. With our user-friendly platform, we envision on the horizon a “smartphone”-like interface in the hands of practical medical workers and non-bioinformatician biologists, allowing them to take advantage of the power of big data.
Our solution is a set of online tools covering a wide range of -omics data types that are capable of integrating analyses for different data types and are accessible via a simple user interface. The T-BioInfo platform combines analysis of heterogeneous data types and machine learning approaches, as well as integration and modeling. The simple interface and intuitive options for creating complex algorithmic pipelines also make this platform useful for bioinformatics education. Importantly, we provide the means for this set of tools to be run remotely, freeing users from the constraints of limited computational resources.”
Our product has numerous applications in the field of research, assisting researchers with analyzing and visualization diverse sets of biological data.
Pine Biotech is developing a set of online educational courses designed to teach professionals and students the basics of bioinformatics, and how to use the T-BioInfo platform’s features.
We recognize the opportunity to facilitate clinical research and development of new drugs and therapies for cancer, genetic disease, and DNA and RNA viruses.
T-BioInfo, developed by the Tauber Bioinformatics Research Center at the University of Haifa has a exclusive commercialization license with Pine Biotech. T-BioInfo is a Discovery and Decision-making platform that leverages big data analysis algorithms to provide deeper insight into cellular regulation that allows for development of biomarker diagnostics, identification of small molecule candidates for drug development, and strategic insight into overcoming pressing environmental challenges. The T-BioInfo platform combines proprietary algorithms and publicly available methods while hiding the complexity of code-line interface with an intuitive visual interface that is consistent across genomic, transcriptomic, proteomic, metabolomic, and structural biology data analysis pipelines. This approach has been developed as a result of collaborations with leading teams in many scientific projects in virology, cancer, genetic diseases and agriculture.
Jaclyn has a M.S. from the University of Southern Mississippi (USM) Department of Biological Sciences. Jaclyn is assisting with biological interpretation of analysis results, coordinating our pilot projects…
Dr. Claudia Copeland has a Ph.D. in molecular and cellular biology, with several academic publications as well as dozens of popular science articles and educational writing in chemistry and biology.
Amitha is currently fulfilling a Co-op with Pine Biotech through Northeastern University to fulfill her Bioinformatics Master’s program. As a part of Pine Biotech Team, Amitha works on data retrieval….
Bri Sullivan is a recent graduate of Tulane University with a BA in International Development and Political Science. Bri is the Administrator at Pine Biotech and oversees communications, financial documentation, human resources, online marketing and social media…
I personally feel that future publications that contain data from next gen data sets like CirSeq will benefit from having this additional tool – it will enable the reader to interpret many data sets quickly and also aid the author in highlighting areas of interest.
Oregon State University
Pine Biotech’s team has assembled an impressive array of bioinformatics tools and resources into a unified system that enables an amazing variety of end-to-end omics analyses. Their platform has helped our research by enabling us to explore our RNA-seq data in new ways.
Working with Pine Biotech has been an immense pleasure thanks to their willingness to provide great tutorials and a platform which allows us to truly understand how to best analyze our big data sets. We are certain as Pine Biotech continues to develop new algorithms for varied areas of analysis we will be able to find novel insights relevant to disease states in the future.
Professor of BioInformatics
Our T-BioInfo computational platform can be seen as a “smartphone” business approach to data analysis in biomedicine and agrobiology. It provides analysis of digital data by complex algorithms in simplified manner
UCSF Andino Lab
We have been working with Pine biotech for a number of years and the service the they provide is critical for the new type of quantitative science that is now critical to understand biological mechanisms. In particularly the statistic analysis, association and integration of diverse data sets is at the core of discovery and understanding of biological processes.
Frydman Lab, Stanford
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Dr. Lucio Miele, M.D., Ph.D.
LSU Health Sciences
Integration of multi-omics and clinical data will be key to implementation of precision medicine. Innovative startups like Pine partnering with academic health centers are the engine that will produce the novel algorithms necessary for this quantum leap in health care.
Cattaneo Lab, Mayo Clinic
Analyzing large datasets can be a challenge for molecular biologists. T-Bio provides a comprehensive platform with a user-friendly, graphical interface that allows a wide range of NGS algorithms. The team has been a major source for learning bioinformatics for us. They are proactive in responding to all of our inquiries, even setting up regular video conferences to make sure we are on the right track